His primary scientific interests are in Proteomics, Proteome, Computational biology, Mass spectrometry and Cell biology. He has included themes like Data science, Bioinformatics and Genomics in his Proteomics study. His Proteome research is under the purview of Biochemistry.
Bernhard Kuster interconnects Cancer, Tandem mass spectrum, Kinome and Artificial intelligence in the investigation of issues within Computational biology. His Mass spectrometry research includes elements of Label-free quantification, Tandem mass tag and Affinity chromatography. His biological study spans a wide range of topics, including Efflux, RNA interference and Tandem affinity purification.
The scientist’s investigation covers issues in Proteomics, Proteome, Biochemistry, Cell biology and Computational biology. The various areas that Bernhard Kuster examines in his Proteomics study include Transcriptome, Chromatography, Mass spectrometry and Bioinformatics. His studies examine the connections between Proteome and genetics, as well as such issues in Tandem mass spectrometry, with regards to Peptide sequence.
His studies link Molecular biology with Biochemistry. The Cell biology study combines topics in areas such as Cell cycle and Ubiquitin ligase. His Computational biology research incorporates elements of Proteogenomics, Gene expression profiling, Identification, Gene and Human proteome project.
Bernhard Kuster spends much of his time researching Proteomics, Proteome, Cell biology, Computational biology and Transcriptome. Bernhard Kuster combines Proteomics and Multiplexing in his studies. His Proteome study combines topics from a wide range of disciplines, such as Chromatography, Retention time, Liquid chromatography–mass spectrometry and Lc ms ms.
Bernhard Kuster has included themes like Cell cycle, Ubiquitin, Cereblon and Transcription factor in his Cell biology study. His research investigates the connection between Computational biology and topics such as Virus that intersect with problems in Genome, Label-free quantification and Targeted mass spectrometry. He combines subjects such as Gene expression profiling, Crosstalk, Omics and Rational design with his study of Transcriptome.
His scientific interests lie mostly in Proteome, Computational biology, Proteomics, Transcriptome and Interactome. He performs multidisciplinary study on Proteome and Context in his works. His Computational biology research includes themes of Protein structure, Respiratory chain, Conserved sequence and Function.
Bernhard Kuster works in the field of Proteomics, focusing on Isobaric labeling in particular. His Transcriptome research includes elements of Open reading frame, Sequence motif and Arabidopsis. His work carried out in the field of Interactome brings together such families of science as Human cell line and Signal transduction.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Functional organization of the yeast proteome by systematic analysis of protein complexes
Anne-Claude Gavin;Markus Bösche;Roland Krause;Paola Grandi.
Proteome survey reveals modularity of the yeast cell machinery
Anne-Claude Gavin;Patrick Aloy;Paola Grandi;Roland Krause.
Quantitative mass spectrometry in proteomics: a critical review
Marcus Bantscheff;Markus Schirle;Gavain Sweetman;Jens Rick.
Analytical and Bioanalytical Chemistry (2007)
Mass-spectrometry-based draft of the human proteome
Mathias Wilhelm;Judith Schlegl;Hannes Hahne;Amin Moghaddas Gholami.
A physical and functional map of the human TNF-alpha/NF-kappa B signal transduction pathway.
Tewis Bouwmeester;Angela Bauch;Heinz Ruffner;Pierre-Olivier Angrand.
Nature Cell Biology (2004)
Quantitative chemical proteomics reveals mechanisms of action of clinical ABL kinase inhibitors
Marcus Bantscheff;Dirk Eberhard;Yann Abraham;Sonja Bastuck.
Nature Biotechnology (2007)
Quantitative mass spectrometry in proteomics: critical review update from 2007 to the present
Marcus Bantscheff;Simone Lemeer;Mikhail M. Savitski;Bernhard Kuster;Bernhard Kuster.
Analytical and Bioanalytical Chemistry (2012)
Computational prediction of proteotypic peptides for quantitative proteomics
Parag Mallick;Markus Schirle;Sharon S Chen;Mark R Flory.
Nature Biotechnology (2007)
Cell-cycle-regulated association of RAD50/MRE11/NBS1 with TRF2 and human telomeres.
X.-D. Zhu;B. Küster;M. Mann;J. H. J. Petrini.
Nature Genetics (2000)
ELM server: a new resource for investigating short functional sites in modular eukaryotic proteins
Pål Puntervoll;Rune Linding;Christine Gemünd;Sophie Chabanis-Davidson.
Nucleic Acids Research (2003)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: